| Atrial scar quantification via multi-scale CNN in the graph-cuts framework L Li, F Wu, G Yang, L Xu, T Wong, R Mohiaddin, D Firmin, J Keegan, ... Medical image analysis 60, 101595, 2020 | 82 | 2020 |
| Cf distance: A new domain discrepancy metric and application to explicit domain adaptation for cross-modality cardiac image segmentation F Wu, X Zhuang IEEE Transactions on Medical Imaging 39 (12), 4274-4285, 2020 | 74 | 2020 |
| Unsupervised domain adaptation with variational approximation for cardiac segmentation F Wu, X Zhuang IEEE Transactions on Medical Imaging 40 (12), 3555-3567, 2021 | 71 | 2021 |
| Disentangle domain features for cross-modality cardiac image segmentation C Pei, F Wu, L Huang, X Zhuang Medical Image Analysis 71, 102078, 2021 | 59 | 2021 |
| Minimizing estimated risks on unlabeled data: A new formulation for semi-supervised medical image segmentation F Wu, X Zhuang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6021-6036, 2022 | 25 | 2022 |
| Random style transfer based domain generalization networks integrating shape and spatial information L Li, VA Zimmer, W Ding, F Wu, L Huang, JA Schnabel, X Zhuang Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 23 | 2021 |
| MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images L Li, F Wu, S Wang, X Luo, C Martín-Isla, S Zhai, J Zhang, Y Liu, Z Zhang, ... Medical Image Analysis 87, 102808, 2023 | 20 | 2023 |
| A new framework of swarm learning consolidating knowledge from multi-center non-iid data for medical image segmentation Z Gao, F Wu, W Gao, X Zhuang IEEE Transactions on Medical Imaging 42 (7), 2118-2129, 2022 | 14 | 2022 |
| Atrial scar segmentation via potential learning in the graph-cut framework L Li, G Yang, F Wu, T Wong, R Mohiaddin, D Firmin, J Keegan, L Xu, ... Statistical Atlases and Computational Models of the Heart. Atrial …, 2019 | 8 | 2019 |
| A reliable and interpretable framework of multi-view learning for liver fibrosis staging Z Gao, Y Liu, F Wu, N Shi, Y Shi, X Zhuang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 7 | 2023 |
| Atrial fibrosis quantification based on maximum likelihood estimator of multivariate images F Wu, L Li, G Yang, T Wong, R Mohiaddin, D Firmin, J Keegan, L Xu, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 7 | 2018 |
| Multi-Source Domain Adaptation for Medical Image Segmentation C Pei, F Wu, M Yang, L Pan, W Ding, J Dong, L Huang, X Zhuang IEEE Transactions on Medical Imaging, 2023 | 6 | 2023 |
| Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding K Wan, L Li, D Jia, S Gao, W Qian, Y Wu, H Lin, X Mu, X Gao, S Wang, ... Medical Image Analysis 89, 102875, 2023 | 4 | 2023 |
| Left Atrial and Scar Quantification and Segmentation: First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings X Zhuang, L Li, S Wang, F Wu Springer Nature, 2023 | 2 | 2023 |
| Multi-modality Cardiac Segmentation via Mixing Domains for Unsupervised Adaptation F Wu, L Li, X Zhuang International Workshop on Statistical Atlases and Computational Models of …, 2021 | 2 | 2021 |
| Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels S Wang, F Wu, L Li, Z Gao, BW Hong, X Zhuang International Workshop on Statistical Atlases and Computational Models of …, 2022 | 1 | 2022 |
| Decoupling Predictions in Distributed Learning for Multi-center Left Atrial MRI Segmentation Z Gao, L Li, F Wu, S Wang, X Zhuang International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 1 | 2022 |
| Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation Y Mo, F Liu, G Yang, S Wang, J Zheng, F Wu, BW Papież, D McIlwraith, ... Medical Image Analysis 95, 103196, 2024 | | 2024 |
| Multi-modality cardiac image analysis with deep learning L Li, F Wu, S Wang, X Zhuang Deep Learning for Medical Image Analysis, 299-335, 2024 | | 2024 |
| Multi-task Cooperative Learning via Searching for Flat Minima F Wu, L Zhang, Y Sun, Y Mo, T Nichols, BW Papież International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
Xiahai ZhuangProfessor, School of Data Science, Fudan UniversityDirección de correo verificada de fudan.edu.cn